Title: Spacecraft Autonomous Relative Navigation Using Biased Range and Angle Measurements
Abstract: A spacecraft autonomous relative navigation method in the short-range and medium-range neighborhood is proposed to attack the relative measurement errors. The current spacecraft relative navigation methods mainly depend on the relative range and angles between the chief and deputy spacecraft. And the well-known HCW dynamic model is utilized to describe the relative orbit motion. Due to the constant relative measurement errors, the traditional relative navigation methods usually fail to achieve the high-precise state estimation for two shortcomings. On the one hand, the HCW dynamic model is essentially a one-order approximation of terrestrial gravity of deputy spacecraft. This lower-order approximation leads to the poor observability in the high-precise navigation calculation of relative orbit parameters. On the other hand, the relative measurement errors have not been estimated and corrected in the relative navigation calculation procedure, which inevitably brings about the rapid-growth errors of relative orbit parameters. Based on this consideration, this newly proposed relative navigation method selects the full nonlinear dynamic model to numerically integrate the relative orbit parameters. Additionally, the constant relative measurement biases and relative orbit parameters can be simultaneously estimated and corrected in the extended Kalman filtering calculation flow. Abundant simulation results illustrate that after the time span of 0.5 orbit period, compared with the initial each-axis position errors of 1km and velocity errors of 1m/s, the relative position and velocity estimation errors are respectively less than 30m and 0.005m/s for the GEO spacecraft. Meanwhile, the bias estimation accuracy of relative measurements exceeds 90%.
Publication Year: 2023
Publication Date: 2023-07-24
Language: en
Type: article
Indexed In: ['crossref']
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